Data Engineer with Python

Role: Data Engineer with Python Duration: Long Term Location: Remote – EST working hours • 12- 14 Plus years - Develop data pipelines for streaming and batch data processing needs to move data in and out of Snowflake data warehouse • Collaborate with engineering and DevOps team members to implement, test, deploy, and operate data pipelines and ETL solutions • 10 Years Hands-on experience with Snowflake, including schema design, query optimization, and data load techniques • 8 years of hands-on reporting experience leveraging Business Intelligence tools such as Looker, Qlik, Tableau, Power BI, etc. • Experience with DBT, including model development, testing, and documentation • Optimize data pipelines, ETL processes, and data integrations for large-scale data analytics use cases • 7+ years of experience in building and maintaining data pipelines and ETL/ELT processes in data-intensive organizations • Design, build, and maintain scalable data pipelines using Snowflake and DBT. • Design, build, and maintain scalable data pipelines using Snowflake and DBT. • Develop and manage ETL processes to ingest data from various sources into Snowflake. • Strong coding skills with Python and SQL for manipulating and analyzing data • Strong Experience on Anaconda and Jupyter Notebook • Hands-on experience with data movement using Snowpipe, Snow SQL, etc. • Able to build data integrations and ingestion pipelines for streaming and batch data • 5 years of designing and implementing operational production grade large-scale data pipelines, ETL/ELT and data integration solutions • Hands-on experience with cloud platforms such as AWS and Google Cloud • Proficiency with Kafka, AWS S3, SQS, Lambda, Pub/Sub, AWS DMS, Glue Preferred - Good to Have • Familiarity with API security frameworks, token management and user access control including OAuth, JWT etc., • Background in healthcare data especially patient centric clinical data and provider data is a plus